Summary
Acronis is developing a big data platform for malicious threats analysis, detection, and classification. We use proven ML algorithms and flexible architecture to make the solution easily adjustable to new threats and configurable for the end-user.
As a Machine Learning Engineer, you will be researching, designing, and developing scalable AI/ML solutions.
Responsibilities
- Research and implement advanced AI/ML models according to business requirements and requests.
- Prototype, build, test, deploy, and maintain AI/ML infrastructure and production models.
- Apply machine learning and/or graph analysis techniques to build production-level solutions.
- Support the core team and work closely with the engineering team to integrate your work into our production systems.
- Create and maintain documentation around features and configurations.
Requirements
- 2-3 years of experience in AI/ML Engineering and Research.
- Strong understanding and experience on deep learning, reinforcement learning, classification, and/or clustering algorithms and their applications.
- Familiarity with ML algorithms as applied to Natural Language Processing and Information Retrieval.
- Hands-on experience in working with ML platforms and libraries such as TensorFlow, Keras, PyTorch, and/or Scikit-Learn.
- Familiarity with Big Data analytics such as Spark and SparkML.
- Hands-on experience in applying ML to very large datasets.
- Proficiency in Python, R, Java, C++, or equivalent.
- Strong background in machine learning and statistics.
- Strong communication skills.
- Passion for crafting and shipping robust software solutions.